• Articles
  • Tutorials
  • Interview Questions

Azure Cognitive Services - Top 10 Services

Tutorial Playlist

With the introduction of different pretrained solutions delivered by numerous cloud platforms, such as Azure, AWS, and Google Cloud, the cognitive services sector has developed much too quickly. With its own integration of most typical business applications throughout industrial sectors, this market is becoming increasingly attractive.

So, let us go ahead and learn more about Azure Cognitive Services. In this blog, we are going to cover the following topics:

Watch this in-depth Azure training video to learn end-to-end about Microsoft Azure from scratch:

What is Microsoft Azure Cognitive Services?

Despite necessitating artificial intelligence (AI) or machine learning skills, cognitive services makes artificial intelligence accessible to programmers. An API call is all that is necessary to integrate the capacity for seeing, hearing, talking, searching, comprehending, and judging any app. Cognitive services make it simple for any developer to include AI into their products.

Cognitive Services in Azure enables the creation of appealing algorithms in apps with minimal code. These services are simple to set up and use with a variety of choices for ongoing improvement among platforms and operating systems. Azure Cognitive Services offers solutions for image recognition, speech synthesis, picture classification, verbal fluency, and several other cognitive tasks.

You can use Microsoft Azure Cognitive Services in the following instances:

  • If you want to add smart capabilities to your software to increase its efficiency but do not have the resources to do so.
  • If you want to learn more about your data through sentiment analysis and video material, but do not know how to develop and train algorithms.
  • If your software necessitates a lot of management, such as content moderation or customer support, and you want to lighten the load.

Azure Cognitive Services can be very helpful in such instances.

Enroll in Intellipaat’s Microsoft Azure Training to gain hands-on experience and get certified!

Pricing for Azure Cognitive Services

Azure Cognitive Services is a pay-as-you-go service, which means that you only pay for what you are using and there are no other expenses.

The cost structure varies depending on the service. Each service has a free tier limit (for instance, Bing Autosuggest gives 1000 monthly activities on the free tier), and services are paid by the number of transactions (API calls) or the quantity of data handled after the free trial. Consider the following scenario:

  • The cost of a content moderator is based on 1000 transactions.
  • Text to speech is billed per million characters, while speech to text is billed per audio hour.
  • As monthly criteria are exceeded, the cost of these chargeable transactions decrease.

Cloud Computing EPGC IITR iHUB

Moving on, let us learn about the top cognitive services available in Azure.

List of Cognitive Services

Azure Cognitive Services is a set of Azure APIs that make it simple to enhance apps in five areas allowing the use of AI’s capabilities. The following are the five basic foundations in the list of cognitive services that give intellectual comprehension:

  • Vision
  • Speech
  • Language
  • Decision
  • Search


Visual content, pictures, video, and digital ink is analyzed and entities inside it are identified using Microsoft’s Vision API. As a result of APIs, applications may identify and categorize faces based on certain traits; the applications may identify specific objects and information.

The following are the different vision services:

  • Computer vision: Users may use cloud-based computer vision to leverage sophisticated mechanisms for analyzing pictures and delivering data. Microsoft Computer Vision algorithms may evaluate visual material in many ways by uploading a picture or giving an image URL.
  • Custom vision: By using custom vision, users may develop, deploy, and improve their image analyzers, which is an AI tool that assigns categories to pictures based on their visual characteristics.
  • Face API: Facial recognition may be integrated into any application to provide smooth and safe user engagement. No prior knowledge of machine learning is necessary. Face identification detects facial characteristics and qualities in a picture, such as a mask, spectacles, or face position.

Learn Azure from this comprehensive tutorial to get a better understanding of the Azure cloud platform.


With Speech SDK, you can safely and rapidly create voice-enabled apps. You can also, with great reliability, extract speech to text, create natural-sounding text-to-speech voices, translate verbal audio, and employ speech identification during chats. For example, hands-free gadgets, which generate data or follow directions out loud, might benefit from this innovation.

  • Speech to text: You can translate audio to text in over 85 languages and dialects easily and correctly. Algorithms can be tweaked to boost performance for domain-specific terms. You can also enhance the value of human speech by allowing for search and analytics on transcribed text as well as by enabling acts in scripting languages.
  • Text to speech: You can create natural-sounding applications and solutions by selecting over 70 languages and dialects and more than 250 voices. From textual reader to customer care chatbot, text to speech offers the ability to distinguish one’s business with a unique speech.
  • Speech translation: Speech translation allows the translation of audio, from more than 30 languages, into a computer language. Speech translation also provides personalized translators for a business’ particular terminology.
  • Speaker recognition: Speaker recognition uses speech biometry to accurately verify and identify speakers based on their distinctive voice traits. It is a technique for determining who is speaking.


Two of the most essential characteristics of communication are language and context-based meaning. Microsoft Azure provides a number of capabilities for analyzing and understanding large amounts of text. Its primary application is to derive insights from unstructured information.

  • Language understanding (LUIS): It is one of the cognitive services that uses proprietary machine learning expertise to anticipate overall purpose and extract important, specific details from a user’s natural language writing.
  • QnA maker: It is a cloud-based API application that allows you to overlay current information with a linguistic q/a layer. You can identify queries and replies using your semi-structured information, such as FAQs, manuals, and papers, to create knowledge and understanding.
  • Text analytics: It is an information extraction and text analytics service that includes a number of NLP capabilities such as sentiment classification, collaborative filtering, key phrase extraction, language identification, and named entity identification. With sentiment analysis, you may obtain a better knowledge of consumer opinions.
  • Translator: Translator is an automatic translation service that you may use with a single REST API request to transform text. The service employs cutting-edge machine translation technologies as well as statistical machine translation.

Sign up for this Google Cloud Training in Pune to enhance your knowledge.


To make faster, better, and effective decisions, decision APIs examine data and find correlations and insights. The following are some of these services:

  • Anomaly Detector: You can quickly incorporate time series anomaly detection features into your apps to assist users in promptly identifying concerns. Anomaly Detector takes in various forms of data types and picks the most accurate anomaly detection method for your dataset.
  • Azure Content Moderator: It is an AI solution that allows you to manage highly inflammatory, dangerous, or otherwise unsuitable content. It comes with an AI-powered content moderating service that analyzes text, images, and video files and instantly adds quality warnings.
  • Azure Personalizer: It is a tool that assists your apps in selecting the most appropriate data content to display to your customers. You may utilize this service to determine which items to recommend to customers or where an ad should be placed.

Check out these Azure Interview Questions to crack your interview and land your dream job.

Get 100% Hike!

Master Most in Demand Skills Now !


Azure Cognitive Search is a cloud search service that provides developers with architecture, APIs, and tools which helps them in creating powerful search experiences for web, smartphone, and business applications.

Any program that displays text material to consumers relies on search, with popular situations including catalog or text search, merchandise search, and data science information extraction. Search has many other options to make it more flexible for users. They are as follows:

  • Bing News Search: It provides a list of news stories that have been found to be related to the user’s search.
  • Bing Video Search: It provides a list of videos that are similar to the user’s search.
  • Bing Image Search: It displays a set of photos that are related to the user’s inquiry.
  • Bing Web Search: It delivers a list of relevant searches based on the user’s request.
  • Bing Autosuggest: It enables you to submit a search query word to Bing and receive a list of recommended searches in return.
  • Bing Custom Search: It helps you to personalize search results for topics that are important to you.
  • Bing Entity Search: It gives you data about entities that Bing thinks are significant to your search.
  • Bing Visual Search: It gives you information about a picture such as aesthetically comparable pictures, shopping sites for goods in the picture, and other relevant searches.
  • Bing Local Business Search: It allows your apps to use search queries to get contact and location data for nearby companies.
  • Bing Spell Check: It helps you to verify your spelling and grammar in context.

Preparing for the Azure Certification exam? Join our Microsoft Azure Course in Bangalore!

Advantages of Azure Cognitive Services

The following are some of the advantages of Azure Cognitive Services:

  • With Azure Cognitive Services, you can develop flexible and equipped models based on cutting-edge AI technologies. AI makes applications more innovative and smart. So the ability to use AI technologies will be beneficial.
  • Another advantage of Cognitive Services that is very helpful is that containers may be used to deliver Cognitive Services everywhere, from the cloud to the edges.
  • Experience in Machine Learning and AI is not mandatory to start using Cognitive Services.
  • Utilizing manufacturing tools and principles, Cognitive Services was created with high moral standards in mind, encouraging sustainable usage.
  • All services have a free trial, so you can try them out prior to investing in them.
  • The cost depends on the activity after the free trial; so, you only pay for the services that you utilize.

Azure Cognitive Services Use Cases

Let us take a look at how some of the world’s most prestigious organizations are utilizing Azure Cognitive Services.

  • Airbus employs Anomaly Detector in containers to track the condition of its planes and solve problems in advance. Anomaly Detector is also used to make pilot training easier using speech-enabled chatbots.
  • Uber uses Cognitive Services to prevent scams by ensuring that the driver employing the app resembles the account on record.
  • BBC isutilizing Azure Cognitive Services and Bot Service to build an end-to-end, personalized voice-activated assistant, which retains the brand image and aids in the development of a dynamic cognitive connection with its wide audience.
  • KPMG utilizes Cognitive Services to record and classify numerous calls, saving its customers up to 80 percent on regulatory expenses.
  • Volkswagen employs Cognitive Services to provide real translating, thereby actively communicating with its worldwide consumer base.


Azure Cognitive Services is an excellent service provider for anybody looking to improve and extend their apps by using AI and Machine Learning. Additionally, Cognitive Services is really easy to use. Developers can simply start using these services with just a few lines of code and implement innovative app features. There is no dispute that AI is changing the way we live, and it will become much more effective in the future. So, using this technology in developing apps will prove to be beneficial in offering the best customer experience.

Still have queries? Post them in our Azure Community. Our top experts will answer them.

Course Schedule

Name Date Details
Azure Training 25 May 2024(Sat-Sun) Weekend Batch
View Details
Azure Training 01 Jun 2024(Sat-Sun) Weekend Batch
View Details
Azure Training 08 Jun 2024(Sat-Sun) Weekend Batch
View Details